EP0802495A2 - Méthode et dispositif pour la sélection de groupes d'objets orientée par paramètres - Google Patents

Méthode et dispositif pour la sélection de groupes d'objets orientée par paramètres Download PDF

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Publication number
EP0802495A2
EP0802495A2 EP97102172A EP97102172A EP0802495A2 EP 0802495 A2 EP0802495 A2 EP 0802495A2 EP 97102172 A EP97102172 A EP 97102172A EP 97102172 A EP97102172 A EP 97102172A EP 0802495 A2 EP0802495 A2 EP 0802495A2
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EP
European Patent Office
Prior art keywords
objects
parameters
rules
memory
processing device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP97102172A
Other languages
German (de)
English (en)
Other versions
EP0802495A3 (fr
Inventor
Andreas Dr. Bastian
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Volkswagen AG
Original Assignee
Volkswagen AG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Volkswagen AG filed Critical Volkswagen AG
Publication of EP0802495A2 publication Critical patent/EP0802495A2/fr
Publication of EP0802495A3 publication Critical patent/EP0802495A3/fr
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/02—Computing arrangements based on specific mathematical models using fuzzy logic
    • G06N7/04—Physical realisation
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F9/00—Details other than those peculiar to special kinds or types of apparatus
    • G07F9/002—Vending machines being part of a centrally controlled network of vending machines
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F9/00—Details other than those peculiar to special kinds or types of apparatus
    • G07F9/02—Devices for alarm or indication, e.g. when empty; Advertising arrangements in coin-freed apparatus

Definitions

  • the invention relates to a method for parameter-oriented selection of individual or groups of objects from a large number of different objects.
  • a vending machine is known from German published patent application DE 42 25 165 A1, which has several drawers arranged one above the other in a housing, each with several horizontal shafts arranged next to one another. A stack of identical objects is arranged in each shaft. A potential buyer can see the first item in each shaft through a viewing window and choose which item he would like to buy by choosing yes or no.
  • German published patent application DE 42 44 198 A1 describes a music playback system which has a large number of playable pieces of music. Furthermore, an input device is provided, by means of which pieces of music to be played on a music playback unit are also selected via a yes-no query.
  • the object of the invention is therefore to create a selection method which can be used in the selection of complex objects with a large number of details and variants, which is determined by a large number of fuzzy, in some cases also opposing parameters.
  • a processing device to which a plurality of very different parameters are fed via an input device.
  • the processing device retrieves linking rules stored in a first memory and data of the selectable items stored in a second memory and links the entered parameters with the data of the selectable items by means of the linking rules, for example based on the evaluation of experience.
  • the processing device selects specific individual or groups of objects based on the link.
  • the linking rules are preferably formed from fuzzy rules. Another possibility is to use neural networks.
  • the linking rules themselves are rules for evaluating the parameters and / or rules for selecting the objects based on the parameters or the evaluated parameters.
  • the selected individual or groups of objects are displayed on a display device. If several selected objects are displayed, the operator is given the opportunity to select one of the displayed objects via an operating device. According to an embodiment of the invention, the selected object can be modified by the operator by entering additional parameters, or details or individual parts of this object can be shown in more detail on the display device.
  • the operator requests further parameters, these parameters likewise with data of the objects to be selected, which are supplied from the second memory, and are supplied from the first memory linked further linking rules and modified the selection result based on the link, ie selected other items and displayed them if necessary.
  • the processing device forms changes to the already selected items and suggests these to the operator on the display device. Via the operating device, the latter can then send the processing device a selection command, via which the object already selected is then actually changed or completed.
  • the parameters which can be input via the input device are features of the objects to be selected, features of one or more of the people using the objects to be selected and / or features of the use of the objects to be selected.
  • the invention can advantageously be used in the selection or purchase of motor vehicles.
  • the additional parameters with which the selected motor vehicles can be modified or supplemented then represent equipment parts or equipment packages of the motor vehicles.
  • the invention specifies a selection of objects and thus an essential decision-making aid for the operator.
  • the individual objects (motor vehicles) can then be completed by the operator.
  • the request profile is changed by querying further parameters and further objects (motor vehicles) are specified as a decision aid for the operator.
  • An example of the complexity of decision making in practice is the purchase of a motor vehicle.
  • people not only have to choose a specific vehicle model, but also choose from a variety of additional equipment options.
  • This decision-making process is determined by a large number of fuzzy and sometimes contradictory criteria.
  • the potential customer would like to choose, for example a motor vehicle with a high motorization and a number of equipment features, for example air conditioning, four-wheel drive, but it should be low-consumption.
  • the decision support system shown in the exemplary embodiment is intended to assist in the decision-making process both of the motor vehicle type and for the selection of the equipment parts or packages.
  • the device shown in FIG. 1 has a processing device 1, which is equipped with an input device 4 for inputting a wide variety of parameters P 1 , P 2 , P A , with a first memory 2, in which logic rules R 1 ; R 2 ; R 3 are stored and a second memory 3 in which the data D 1 , D 2 of the selectable motor vehicles and the equipment parts and / or the equipment packages are stored is connected. Furthermore, the device has a display device 5 with which the selected motor vehicles F 1 -F 3 or details of the motor vehicles can be displayed.
  • characteristics of the selectable motor vehicles are queried as parameters. This can be, for example, the number of doors, whether a diesel engine or a gasoline engine or whether a people saloon or a convertible is desired.
  • Features of the use of the selectable motor vehicles can also be queried. An example is: How many kilometers do you drive annually or for which purposes should the motor vehicle be used? Is comfort in the motor vehicle very important to you?
  • the parameters can be entered by defining a point on a bar shown on the display device 5, the two ends of which represent the extremes.
  • the parameters P 1 are linked to the data D 1 of the selectable motor vehicles F via the linking rules R 1 fed from the first memory 2 to the processing device 1 .
  • FIG. 2 shows a linking rule R 1.1 "mileage” in an AND link with the parameter P 1.2 "importance of economical consumption”.
  • the class affiliation of the parameter P 1.1 is determined (FIG. 2a). The operator has entered that the motor vehicle to be selected should have a high mileage. The class affiliation is 0.8. For the parameter P 1.2 , which is shown in FIG. 2b, it was entered that economical consumption is very important, so the class membership is 0.9. To determine the degree of fulfillment of parameter P 1 "Choice of engine”, the class affiliations of the two parameters P 1.1 and P 1.2 are multiplied, it is therefore 0.72 for the diesel engine. (Fig. 2c)
  • the device selects three motor vehicles F 1 to F 3 and displays them on the display device 5 of the operator.
  • the operating device 6 which can be integrated in the input device 4
  • a motor vehicle can now be selected and viewed in more detail, for example by showing details enlarged on the display device.
  • the system can independently make additional equipment suggestions based on the parameters P 1 already entered and the data D 1 linked to them. This happens especially when there are conflicting parameters, for example a high level of equipment that goes beyond the specified maximum price range.
  • a selection command B 1 the operator can complete the selected motor vehicle F 1 - F 3 with the equipment suggestion. It is also possible to enter additional parameters P A to change or add to the selected motor vehicle, for example to equip it with air conditioning or a sports suspension.
  • a new selection process can be started in the processing device 1 by entering a request command B via the operating device 6.
  • further parameters P 2 are requested from the processing device 1 in dialog with the operator and linked to data D 2 supplied from the second memory 3 via linking rules R 2 requested from the first memory.
  • the invention can not only be used for the selection of objects, such as motor vehicles, but can also advantageously be used for the selection of services.

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  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Analysis (AREA)
  • Fuzzy Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Automation & Control Theory (AREA)
  • Algebra (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computational Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Control By Computers (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • User Interface Of Digital Computer (AREA)
EP97102172A 1996-04-16 1997-02-12 Méthode et dispositif pour la sélection de groupes d'objets orientée par paramètres Withdrawn EP0802495A3 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19614757 1996-04-16
DE19614757 1996-04-16

Publications (2)

Publication Number Publication Date
EP0802495A2 true EP0802495A2 (fr) 1997-10-22
EP0802495A3 EP0802495A3 (fr) 2002-03-06

Family

ID=7791273

Family Applications (1)

Application Number Title Priority Date Filing Date
EP97102172A Withdrawn EP0802495A3 (fr) 1996-04-16 1997-02-12 Méthode et dispositif pour la sélection de groupes d'objets orientée par paramètres

Country Status (2)

Country Link
EP (1) EP0802495A3 (fr)
DE (1) DE19714627A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6223094B1 (en) 1998-08-21 2001-04-24 Sap Aktiengesellschaft Multi-tiered structure for storing and displaying product and process variants

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE4225165A1 (de) 1992-07-30 1994-02-03 Trans Finanz Service Sa Luxemb Verkaufsautomat
DE4244198A1 (de) 1992-12-24 1994-06-30 Nsm Ag Musikabspielsystem

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4996642A (en) * 1987-10-01 1991-02-26 Neonics, Inc. System and method for recommending items
US5319542A (en) * 1990-09-27 1994-06-07 International Business Machines Corporation System for ordering items using an electronic catalogue
US5371675A (en) * 1992-06-03 1994-12-06 Lotus Development Corporation Spreadsheet program which implements alternative range references
WO1994020918A1 (fr) * 1993-03-11 1994-09-15 Fibercraft/Descon Engineering, Inc. Systeme de gestion de projet d'etude et d'ingenierie
US5550746A (en) * 1994-12-05 1996-08-27 American Greetings Corporation Method and apparatus for storing and selectively retrieving product data by correlating customer selection criteria with optimum product designs based on embedded expert judgments

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE4225165A1 (de) 1992-07-30 1994-02-03 Trans Finanz Service Sa Luxemb Verkaufsautomat
DE4244198A1 (de) 1992-12-24 1994-06-30 Nsm Ag Musikabspielsystem

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EP0802495A3 (fr) 2002-03-06
DE19714627A1 (de) 1997-10-30

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